We are looking for an AI/ML Data Engineer to join a team focused on transforming data and incident response processes into a robust, secure, and production-ready AI system. This role combines data engineering, automation, and cybersecurity, with a strong impact in a production environment.
Key Responsibilities:
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Develop and operate data pipelines (ingestion, normalization, and enrichment) for security events (logs, alerts, and tickets)
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Implement end-to-end integrations with SOC and ITSM tools, ensuring data consistency and quality
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Support the incident lifecycle (triage, investigation, and response) through AI-assisted models and automated playbooks
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Optimize response processes by reducing operational noise and improving incident prioritization
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Implement and evolve automation and orchestration workflows (SOAR)
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Ensure MLOps/AIOps practices, including versioning, performance monitoring, and drift detection
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Guarantee governance, security, and compliance in the use of data and AI models
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Mitigate risks associated with AI usage (e.g., prompt injection, data leakage, incorrect outputs)
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Collaborate with vendors and internal teams on the integration and operation of AI solutions
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Contribute to technical and strategic decision-making, including risk and ROI analysis